[scikit-learn] Finding the PC that captures a specific variable

[Guillaume Lemaître]

I am not really understanding the question, sorry.
Are you seeking for the `explained_variance_ratio_` attribute that give you
a relative value of the eigenvalues associated to the eigenvectors?

On Fri, 22 Jan 2021 at 10:16, Mahmood Naderan <mahmood.nt at gmail.com> wrote:

> Hi
> I have a question about PCA and that is, how we can determine, a
> variable, X,  is better captured by which factor (principal
> component)? For example, maybe one variable has low weight in the
> first PC but has a higher weight in the fifth PC.
>
> When I use the PCA from Scikit, I have to manually work with the PCs,
> therefore, I may miss the point that although a variable is weak in
> PC1-PC2 plot, it may be strong in PC4-PC5 plot.
>
> Any comment on that?
>
> Regards,
> Mahmood
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-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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